updated ques
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@@ -376,7 +376,7 @@ All major workflows converge on the same architectural pattern: **Research → P
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1. When should you use a command vs an agent vs a skill — and when is vanilla Claude Code just better?
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2. How often should you update your agents, commands, and workflows as models improve?
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3. Does giving your subagent a detailed persona improve quality? What does a "perfect persona/prompt" for research/QA subagent look like?
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3. Should you have a generalist subagent or a feature-specific/role-specific agent? Does giving your subagent a detailed persona improve quality, and what does a "perfect persona prompt" for research/vision look like?
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4. Should you rely on Claude Code's built-in plan mode — or build your own planning command/agent that enforces your team's workflow?
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5. If you have a personal skill (e.g., /implement with your coding style), how do you incorporate community skills (e.g., /simplify) without conflicts — and who wins when they disagree?
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6. Are we there yet? Can we convert an existing codebase into specs, delete the code, and have AI regenerate the exact same code from those specs alone?
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